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AuthorShabir, Dehlela
AuthorAnbatawi, Malik
AuthorAbdurahiman, Nihal
AuthorTrinh, May
AuthorPadhan, Jhasketan
AuthorAl-Ansari, Abdulla
AuthorAbinahed, Julien
AuthorDeng, Zhigang
AuthorYaacoub, Elias
AuthorMohammed, Amr
AuthorNavkar, Nikhil V.
Available date2024-10-08T09:46:49Z
Publication Date2022-11
Publication NameProceedings - IEEE 22nd International Conference on Bioinformatics and Bioengineering, BIBE 2022
Identifierhttp://dx.doi.org/10.1109/BIBE55377.2022.00061
CitationShabir, D., Anbatawi, M., Abdurahiman, N., Trinh, M., Padhan, J., Al-Ansari, A., ... & Navkar, N. V. (2022, November). Benchmarking Network Performance of Augmented Reality Based Surgical Telementoring Systems. In 2022 IEEE 22nd International Conference on Bioinformatics and Bioengineering (BIBE) (pp. 261-264). IEEE.
ISBN978-1-6654-8488-6
ISSN2159-5410
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85145604048&origin=inward
URIhttp://hdl.handle.net/10576/59907
AbstractTelementoring in surgery facilitates the transfer of surgical knowledge from the mentor to the mentee. Augmented Reality (AR) further assists this transfer by overlaying visual cues (e.g., in the form of virtual surgical instrument motion) generated by the mentor onto the operative field of the mentee. In this work, we present a benchmark for comparing such AR based surgical telementoring systems. The results compare the network performances of these systems across different types of surgery (open or minimally invasive), based on the locations of the mentor and the mentee (inter- or intra-country), and finally the underlying networking protocols (RTMP versus WebRTC).
SponsorThis work is supported by National Priority Research Program (NPRP) award (NPRP12S-0119-190006) from the Qatar National Research Fund (a member of The Qatar Foundation).
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc. (IEEE)
SubjectAugmented Reality (AR)
Minimally Invasive Surgery
Network Communication
Open Surgery
Telementoring
TitleBenchmarking Network Performance of Augmented Reality Based Surgical Telementoring Systems
TypeConference
Pagination261-264
ESSN2471-7819
EISBN978-1-6654-8487-9
dc.accessType Full Text


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